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Transactive memory systems in superteams: the effect of an intelligent assistant in virtual teams.

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Title: Transactive memory systems in superteams: the effect of an intelligent assistant in virtual teams.
Authors: McWilliams, Denise J.1 (AUTHOR) denise.mcwilliams@ung.edu, Randolph, Adriane B.2 (AUTHOR) arandol3@kennesaw.edu
Source: Information Technology & People. 2024, Vol. 37 Issue 7, p2390-2410. 21p.
Subjects: Virtual storage (Computer science), Structural equation modeling, Artificial intelligence, Trust, Information sharing, Virtual work teams
Abstract: Purpose: Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application. Design/methodology/approach: An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest. Findings: Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing. Originality/value: The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology. [ABSTRACT FROM AUTHOR]
Copyright of Information Technology & People is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Transactive memory systems in superteams: the effect of an intelligent assistant in virtual teams.
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  Data: <searchLink fieldCode="AR" term="%22McWilliams%2C+Denise+J%2E%22">McWilliams, Denise J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> denise.mcwilliams@ung.edu</i><br /><searchLink fieldCode="AR" term="%22Randolph%2C+Adriane+B%2E%22">Randolph, Adriane B.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> arandol3@kennesaw.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Information+Technology+%26+People%22">Information Technology & People</searchLink>. 2024, Vol. 37 Issue 7, p2390-2410. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Virtual+storage+%28Computer+science%29%22">Virtual storage (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink><br /><searchLink fieldCode="DE" term="%22Information+sharing%22">Information sharing</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+work+teams%22">Virtual work teams</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Researchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application. Design/methodology/approach: An online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest. Findings: Results suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing. Originality/value: The research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Information Technology & People is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1108/ITP-12-2022-0918
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      – Code: eng
        Text: English
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        PageCount: 21
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      – SubjectFull: Virtual storage (Computer science)
        Type: general
      – SubjectFull: Structural equation modeling
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Trust
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      – SubjectFull: Information sharing
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      – SubjectFull: Virtual work teams
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              Text: 2024
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